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02/07/2022
Inference of captions from histopathological patches
Computational histopathology has made significant strides in the past fe...
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07/31/2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
Datasets are rarely a realistic approximation of the target population. ...
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04/26/2021
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
Gastric diffuse-type adenocarcinoma represents a disproportionately high...
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02/10/2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Transfer learning from ImageNet is the go-to approach when applying deep...
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11/18/2020
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cance...
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06/10/2020
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment
Objective: To demonstrate the effectiveness of using a deep learning-bas...
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11/22/2018