Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification

no code implementations • 21 Oct 2018 • Ismaël Koné, Lahsen Boulmane

Microscopic histology image analysis is a cornerstone in early detection of breast cancer.

Breast Cancer Histology Image Classification Classification +2

BACH: Grand Challenge on Breast Cancer Histology Images

no code implementations • 13 Aug 2018 • Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan, Varghese Alex, Bahram Marami, Marcel Prastawa, Monica Chan, Michael Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismael Kone, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar

From the submitted algorithms it was possible to push forward the state-of-the-art in terms of accuracy (87%) in automatic classification of breast cancer with histopathological images.

Classification General Classification +1

Hybrid Forests for Left Ventricle Segmentation using only the first slice label

no code implementations • 30 Apr 2018 • Ismaël Koné, Lahsen Boulmane

In this paper, we propose a segmentation method which exploits MRI images sequential structure to nearly drop out this labeling task.

Left Ventricle Segmentation Segmentation