Tpmil: Trainable prototype enhanced multiple instance learning for whole slide image classification

L Yang, D Mehta, S Liu, D Mahapatra, A Di Ieva… - arXiv preprint arXiv …, 2023 - arxiv.org
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

L Yang, D Mehta, S Liu, D Mahapatra… - … of Machine Learning …, 2023 - nchr.elsevierpure.com
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

TPMIL: Trainable Prototype enhanced multiple instance learning for whole slide image classification

L Yang, D Mehta, S Liu, D Mahapatra… - … on Medical Imaging …, 2024 - research.monash.edu
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

L Yang, D Mehta, S Liu, D Mahapatra, A Di Ieva… - Medical Imaging with … - openreview.net
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

TPMIL: Trainable Prototype enhanced Multiple Instance Learning for whole slide image classification

L Yang, D Mehta, S Liu, D Mahapatra… - … Imaging with Deep …, 2023 - researchers.mq.edu.au
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

L Yang, D Mehta, S Liu, D Mahapatra… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and the unavailability of patch …

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

L Yang, D Mehta, S Liu, D Mahapatra… - … Imaging with Deep …, 2024 - proceedings.mlr.press
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis
and clinical practice. Due to the high resolution of the WSI and unavailability of patch level …