MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

21 October 2019

Papers citing "MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning"

11 / 11 papers shown

Title
Medical Image Analysis for Detection, Treatment and Planning of Disease using Artificial Intelligence Approaches Nand lal Yadav Satyendra Singh Rajesh Kumar Sudhakar Singh 27 0 0 18 May 2024
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data L. Boulogne Julian Lorenz Daniel Kienzle Robin Schon K. Ludwig ... C. Russ R. Ionasec Nikos Paragios Bram van Ginneken Marieke Dubois 31 4 0 18 Jun 2023
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 19 2 0 24 Oct 2022
Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-Specific Hip Fracture Risk Screening P. Bjornsson Alexander M. Baker I. Fleps Y. Pauchard H. Pálsson S. Ferguson S. Sigurðsson V. Gudnason B. Helgason L. M. Ellingsen OOD 14 9 0 20 Apr 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation Dominik Muller Iñaki Soto Rey Frank Kramer 43 280 0 10 Feb 2022
MISeval: a Metric Library for Medical Image Segmentation Evaluation Dominik Muller D. Hartmann Philip Meyer Florian Auer Iñaki Soto Rey Frank Kramer 35 19 0 23 Jan 2022
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 35 394 0 08 Feb 2021
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net Dominik Muller Iñaki Soto Rey Frank Kramer 31 70 0 24 Jun 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 33 29 0 22 Feb 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017