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Talha Qaiser

Showing results (11-20 of 17) with videos related to

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BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Frontiers in Bioengineering and Biotechnology|April 20, 2019
Methods for Segmentation and Classification of Digital Microscopy Tissue ImagesQuoc Dang Vu, Simon Graham, Tahsin Kurc, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|July 25, 2025
Virtual Histological Staining as a Tool for Extending Renal Segmentation Across StainsJames Denholm, Azam Hamidinekoo, Nikolay Burlutskiy, et al.
Histopathology|August 4, 2017
HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissuesTalha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, et al.
Cancer Research Communications|November 10, 2025
Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung CancerJongchan Park, Sangwon Shin, Woochan Hwang, et al.
Medical Image Analysis|March 13, 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challengeMitko Veta, Yujing J Heng, Nikolas Stathonikos, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Frontiers in Bioengineering and Biotechnology|April 20, 2019
Methods for Segmentation and Classification of Digital Microscopy Tissue ImagesQuoc Dang Vu, Simon Graham, Tahsin Kurc, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|July 25, 2025
Virtual Histological Staining as a Tool for Extending Renal Segmentation Across StainsJames Denholm, Azam Hamidinekoo, Nikolay Burlutskiy, et al.
Histopathology|August 4, 2017
HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissuesTalha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, et al.
Cancer Research Communications|November 10, 2025
Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung CancerJongchan Park, Sangwon Shin, Woochan Hwang, et al.
Medical Image Analysis|March 13, 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challengeMitko Veta, Yujing J Heng, Nikolas Stathonikos, et al.
JAMA|December 14, 2017
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast CancerBabak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, et al.
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