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Breast Tumour Classification

5 papers with code · Medical

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Densely Connected Convolutional Networks

CVPR 2017 pytorch/vision

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.

BREAST TUMOUR CLASSIFICATION CROWD COUNTING IMAGE CLASSIFICATION OBJECT RECOGNITION PERSON RE-IDENTIFICATION

Rotation Equivariant CNNs for Digital Pathology

8 Jun 2018basveeling/pcam

We propose a new model for digital pathology segmentation, based on the observation that histopathology images are inherently symmetric under rotation and reflection.

BREAST TUMOUR CLASSIFICATION