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researcher

M. Kutlu Sengul

Dokuz Eylul University

6 papers hereh-index 436.1k citations311 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG2
  • cs.OH1
affiliations
  • Dokuz Eylul University
ORCID 0000-0002-1552-9279

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedNew pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

9 citations · 10 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI

Hasan Ulutas, Muhammet Emin Sahin, Mustafa Fatih Erkoc +4

Objective: Accurate identification of acute ischemic infarcts on diffusion-weighted magnetic resonance imaging (DWI) is a critical prerequisite for reliable lesion quantification a…

cs.CV2025

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation

Abdulvahap Mutlu, Şengül Doğan, Türker Tuncer

The remarkable representational power of Vision Transformers (ViTs) remains underutilized in few-shot image classification. In this work, we introduce ViT-ProtoNet, which integrate…

cs.CV2022★ 9 cited

New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

Mehmet Baygin, Turker Tuncer, Sengul Dogan

Background: Skin cancer is one of the widely seen cancer worldwide and automatic classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis. Hence…

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