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researcher

M. Alom

3 papers hereh-index 247k citations97 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedSkin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

32 citations · 53 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2019★ 32 cited

Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks

Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1

In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…

cs.CV2019★ 21 cited

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +4

Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…

cs.CV2017

Handwritten Bangla Digit Recognition Using Deep Learning

Md Zahangir Alom, Paheding Sidike, Tarek M. Taha +1

In spite of the advances in pattern recognition technology, Handwritten Bangla Character Recognition (HBCR) (such as alpha-numeric and special characters) remains largely unsolved…

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