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researcher

Dmitrii Kaplun

3 papers here

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

author position
  • middle author3

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

fields
  • eess.IV2
  • cs.CV1
ORCID 0000-0003-2765-4509

identity via Semantic Scholar / OpenAlex

most citedAWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024

GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation

Ayush Roy, Payel Pramanik, Sohom Ghosal +3

Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive t…

eess.IV2024

A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion

Ayush Roy, Sujan Sarkar, Sohom Ghosal +3

Skin cancer is a highly dangerous type of cancer that requires an accurate diagnosis from experienced physicians. To help physicians diagnose skin cancer more efficiently, a comput…

cs.CV2024★ 1 cited

AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images

Ayush Roy, Payel Pramanik, Dmitrii Kaplun +2

Accurate nuclei segmentation in histopathological images is crucial for cancer diagnosis. Automating this process offers valuable support to clinical experts, as manual annotation…

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