A Novel Deep Learning Framework for Lung Nodule Segmentation and Classification from CT Images

Accepted at ICACS ‘26: The 10th International Conference on Algorithms, Computing and Systems (Thailand, 2026). This is the author’s manuscript and is not included in the conference proceedings.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24083810
Primary Topic
AI in cancer detection
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

A Novel Deep Learning Framework for Lung Nodule Segmentation and Classification from CT Images

Muzammil Khan, Muhammad Haseeb, Shahab Ghafoor
Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
preprint

A Novel Deep Learning Framework for Lung Nodule Segmentation and Classification from CT Images

Muzammil Khan, Muhammad Haseeb, Shahab Ghafoor
preprint en

Abstract

Accepted at ICACS ‘26: The 10th International Conference on Algorithms, Computing and Systems (Thailand, 2026). This is the author’s manuscript and is not included in the conference proceedings.

Zenodo (CERN European Organization for Nuclear Research)
University of Swat (PK)
AI in cancer detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
A Novel Deep Learning Framework for Lung Nodule Segmentation and Classification from CT Images — Muzammil Khan, Muhammad Haseeb, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS