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09/12/2023
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization
With the advent of digital pathology and microscopic systems that can sc...
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08/03/2023
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H E-Stained Histological Images
In computational pathology, automatic nuclei instance segmentation plays...
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04/25/2022
A global analysis of metrics used for measuring performance in natural language processing
Measuring the performance of natural language processing models is chall...
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01/02/2021
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H E-Stained Histological Images
Nuclei instance segmentation plays an important role in the analysis of ...
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08/06/2020
A critical analysis of metrics used for measuring progress in artificial intelligence
Comparing model performances on benchmark datasets is an integral part o...
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06/25/2020
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification
Skin cancer is among the most common cancer types. Dermoscopic image ana...
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12/12/2018
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity
As societies around the world are ageing, the number of Alzheimer's dise...
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11/22/2017