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acrima

ACRIMA project

aec

anomaly_localization_vae_gcams

cbir_synthetic_views

constrained_anomaly_segmentation

This repository contains code for unsupervised anomaly segmentation in brain lesions. Specifically, the implemented methods aim to constrain the optimization process to force a VAE to homogenize the activations produced in normal samples.

contrastive_prototypes_railway

This repository contains implementation code for the paper 'Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections'

daud-miccai2024

first-stage_cancer_detection_entropy

Code related to the paper entitled “First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning” submitted to the Entropy Journal.

gleason_grading_cmpb

kd_resolution

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

labeling_uncertainty

micil

mitosis-uts

mivisionshot

monuseg_challenge

Code for nuclei detection in histological images related to the MoNuSeg Challenge organized in MICCAI 2018

progleason-gan

conditional progressive growing GAN approach for prostatic cancer Gleason Grade patch synthesis

prostate_wsss_weglenet

retina_dataset

Retina dataset containing 1) normal 2) cataract 3) glaucoma 4) retina disease

self_learning_wsi_prostate

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

topk-voiceconversion-stargan