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Books
The patient assassin : a true tale of massacre, revenge and the raj / Anita Anand.
Author / Creator:Anand, Anita, author.
Publisher:[Place of publication not identified] : SIMON & SCHUSTER LTD, 2019.London : Simon & Schuster UK Ltd., 2019.
Date:2019.
Call Numbers:G 2019/2777
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ebooks
The Destruction of Hillary Clinton / Susan Bordo.
Author / Creator:Bordo, Susan, author.
Publisher:Melbourne, Victoria : The Text Publishing Company, 2017.
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National edeposit: Onsite at State Library of New South Wales
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Books
Clinical examination : a systematic guide to physical diagnosis / Nicholas J Talley, Simon O'Connor.
Author / Creator:Talley, Nicholas Joseph. author.
Publisher:Chatswood, NSW Elsevier Australia, [2014]
Edition:7th edition.
Call Numbers:H 2013/7879
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Books
Analysis on the ideographic characteristics of some English morphemes / by Gao-ming Zhang and Hong Yang.
Author / Creator:Zhang, Gaoming, author.
Publisher:Newcastle upon Tyne Cambridge Scholars Publishing, 2014.
Call Numbers:G 2015/410
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ArticlesPeer ReviewedFull Text
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Author / Creator:Rajaraman, Sivaramakrishnan ; Antani, Sameer K. ; Poostchi, Mahdieh ; Silamut, Kamolrat ; Hossain, Md. A. ; Maude, Richard J. ; Jaeger, Stefan ; Thoma, George R.
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2018-04, Vol.6, p.e4568-e4568, Article e4568
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ArticlesPeer ReviewedFull Text
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
Author / Creator:Rajaraman, Sivaramakrishnan ; Jaeger, Stefan ; Antani, Sameer K.
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2019-05, Vol.7, p.e6977-e6977, Article e6977
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ArticlesPeer ReviewedFull Text
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
Author / Creator:Oyewola, David Opeoluwa ; Dada, Emmanuel Gbenga ; Misra, Sanjay ; Damaševičius, Robertas
Publisher:Philadelphia: Taylor & Francis
Journal title:Applied artificial intelligence, 2022-12, Vol.36 (1)
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ArticlesPeer ReviewedFull Text
BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images
Author / Creator:Atteia, Ghada ; Alhussan, Amel ; Samee, Nagwan
Publisher:Basel: MDPI AG
Journal title:Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5520
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ArticlesPeer ReviewedFull Text
GFNB: Gini index–based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images
Author / Creator:Das, Biplab Kanti ; Dutta, Himadri Sekhar
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Medical & biological engineering & computing, 2020-11, Vol.58 (11), p.2789-2803
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ArticlesPeer ReviewedFull Text
Evaluating Plasmodium falciparum automatic detection and parasitemia estimation: A comparative study on thin blood smear images
Author / Creator:Acherar, Aniss ; Tannier, Xavier ; Tantaoui, Ilhame ; Brossas, Jean-Yves ; Thellier, Marc ; Piarroux, Renaud
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-06, Vol.19 (6), p.e0304789-e0304789
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ArticlesPeer ReviewedFull Text
Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review
Author / Creator:K.T., Navya ; Prasad, Keerthana ; Singh, Brij Mohan Kumar
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Medical & biological engineering & computing, 2022-09, Vol.60 (9), p.2445-2462
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ArticlesPeer ReviewedFull Text
A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling
Author / Creator:Di Ruberto, Cecilia ; Loddo, Andrea ; Putzu, Lorenzo
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Machine vision and applications, 2016-11, Vol.27 (8), p.1151-1160
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ArticlesPeer ReviewedFull Text
Identification and red blood cell automated counting from blood smear images using computer-aided system
Author / Creator:Acharya, Vasundhara ; Kumar, Preetham
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Medical & biological engineering & computing, 2018-03, Vol.56 (3), p.483-489
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ArticlesPeer ReviewedFull Text
An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images
Author / Creator:Sukumarran, Dhevisha ; Hasikin, Khairunnisa ; Khairuddin, Anis Salwa Mohd ; Ngui, Romano ; Sulaiman, Wan Yusoff Wan ; Vythilingam, Indra ; Divis, Paul Cliff Simon
Publisher:England: BioMed Central Ltd
Journal title:Parasites & vectors, 2024-04, Vol.17 (1), p.188-188, Article 188
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ArticlesPeer ReviewedFull Text
A dataset and benchmark for malaria life-cycle classification in thin blood smear images
Author / Creator:Arshad, Qazi Ammar ; Ali, Mohsen ; Hassan, Saeed-ul ; Chen, Chen ; Imran, Ayisha ; Rasul, Ghulam ; Sultani, Waqas
Publisher:London: Springer London
Journal title:Neural computing & applications, 2022-03, Vol.34 (6), p.4473-4485
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ArticlesPeer ReviewedFull Text
Detecting Malignant Leukemia Cells Using Microscopic Blood Smear Images: A Deep Learning Approach
Author / Creator:Baig, Raheel ; Rehman, Abdur ; Almuhaimeed, Abdullah ; Alzahrani, Abdulkareem ; Rauf, Hafiz Tayyab
Publisher:Basel: MDPI AG
Journal title:Applied sciences, 2022-07, Vol.12 (13), p.6317
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ArticlesPeer ReviewedFull Text
Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances
Author / Creator:Shambhu, Shankar ; Koundal, Deepika ; Das, Prasenjit ; Hoang, Vinh Truong ; Tran-Trung, Kiet ; Turabieh, Hamza
Publisher:United States: Hindawi
Journal title:Computational intelligence and neuroscience, 2022, Vol.2022, p.1-18
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ArticlesPeer ReviewedFull Text
Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images
Author / Creator:Sampathila, Niranjana ; Chadaga, Krishnaraj ; Goswami, Neelankit ; Chadaga, Rajagopala P. ; Pandya, Mayur ; Prabhu, Srikanth ; Bairy, Muralidhar G. ; Katta, Swathi S. ; Bhat, Devadas ; Upadya, Sudhakara P.
Publisher:Basel: MDPI AG
Journal title:Healthcare (Basel), 2022-09, Vol.10 (10), p.1812
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ArticlesPeer ReviewedFull Text
LeukoCapsNet: a resource-efficient modified CapsNet model to identify leukemia from blood smear images
Author / Creator:Dhalla, Sabrina ; Mittal, Ajay ; Gupta, Savita
Publisher:London: Springer London
Journal title:Neural computing & applications, 2024-02, Vol.36 (5), p.2507-2524
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ArticlesPeer ReviewedFull Text
DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images
Author / Creator:Kaur, Manjit ; AlZubi, Ahmad Ali ; Jain, Arpit ; Singh, Dilbag ; Yadav, Vaishali ; Alkhayyat, Ahmed
Publisher:Basel: MDPI AG
Journal title:Diagnostics (Basel), 2023-08, Vol.13 (17), p.2752
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Showing 1 to 20 of 243 results

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The patient assassin : a true tale of massacre, revenge and the raj / Anita Anand.

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The Destruction of Hillary Clinton / Susan Bordo.

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Clinical examination : a systematic guide to physical diagnosis / Nicholas J Talley, Simon O'Connor.

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Analysis on the ideographic characteristics of some English morphemes / by Gao-ming Zhang and Hong Yang.

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Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

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Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

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A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

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BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images

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GFNB: Gini index–based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images

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Evaluating Plasmodium falciparum automatic detection and parasitemia estimation: A comparative study on thin blood smear images

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Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review

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A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

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Identification and red blood cell automated counting from blood smear images using computer-aided system

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An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

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A dataset and benchmark for malaria life-cycle classification in thin blood smear images

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Detecting Malignant Leukemia Cells Using Microscopic Blood Smear Images: A Deep Learning Approach

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Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances

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Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images

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LeukoCapsNet: a resource-efficient modified CapsNet model to identify leukemia from blood smear images

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DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images

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