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Ismat Ara Reshma
Ismat Ara Reshma
Postdoctoral Researcher at IRIT, CNRS
Verifierad e-postadress på irit.fr
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Deep analysis of CNN settings for new cancer whole-slide histological images segmentation: the case of small training sets
S Mejbri, C Franchet, IA Reshma, J Mothe, P Brousset, E Faure
6th International conference on BioImaging (BIOIMAGING 2019), 120-128, 2019
112019
KDEVIR at ImageCLEF 2014 Scalable Concept Image Annotation Task: Ontology based Automatic Image Annotation.
IA Reshma, MZ Ullah, M Aono
CLEF (Working Notes), 386-397, 2014
72014
Ontology based classification for multi-label image annotation
IA Reshma, MZ Ullah, M Aono
2014 international conference of advanced informatics: concept, theory and …, 2014
52014
KDEVIR at ImageCLEF 2013 Image Annotation Subtask.
IA Reshma, MZ Ullah, M Aono
CLEF (Working Notes), 2013
42013
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
IA Reshma, S Cussat-Blanc, RT Ionescu, H Luga, J Mothe
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 18-25, 2021
22021
Training Set Class Distribution Analysis for Deep Learning Model-Application to Cancer Detection
IA Reshma, M Gaspard, C Franchet, P Brousset, E Faure, S Mejbri, ...
1st International Conference on Advances in Signal Processing and Artificial …, 2019
12019
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection
IA Reshma, C Franchet, M Gaspard, RT Ionescu, J Mothe, S Cussat-Blanc, ...
Journal of Digital Imaging, 1-24, 2022
2022
Influence de la distribution des classes et évaluation en apprentissage profond-Application ā la détection du cancer sur des images histologiques
IA Reshma
2021
Ontology based Supervised Learning for Image Annotation (画像工学)
IA RESHMA, MZ ULLAH, M AONO
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 114 (172), 41-46, 2014
2014
Ontology based Classification for Multi-label Image
IA Reshma, MZ Ullah, M Aono
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Artiklar 1–10