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researcher

M. Bendechache

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedRandom Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

OxML Challenge 2023: Carcinoma classification using data augmentation

Kislay Raj, Teerath Kumar, Alessandra Mileo +1

Carcinoma is the prevailing type of cancer and can manifest in various body parts. It is widespread and can potentially develop in numerous locations within the body. In the medica…

eess.IV2022★ 1 cited

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets

Sidra Aleem, Teerath Kumar, Suzanne Little +3

Over the years, the paradigm of medical image analysis has shifted from manual expertise to automated systems, often using deep learning (DL) systems. The performance of deep learn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.