Investigation of the Biological Properties of Non‐small Cell Lung Cancer Using Three‐dimensional Computed Tomography Images

NSCLC tumor shapes showed biological properties according to each histological type, such as pleural invasion or lymphatic invasion.

Authors

Institutions

Publication Details

Journal
Cancer Diagnosis & Prognosis
Published
2025-07-01
DOI
https://doi.org/10.21873/cdp.10458
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the Biological Properties of Non‐small Cell Lung Cancer Using Three‐dimensional Computed Tomography Images

Yuka Kozuma, Sho Wakasu, Akira Haro, Motoharu Hamatake et al.
Cancer Diagnosis & Prognosis
Radiomics and Machine Learning in Medical Imaging
article

Investigation of the Biological Properties of Non‐small Cell Lung Cancer Using Three‐dimensional Computed Tomography Images

Yuka Kozuma, Sho Wakasu, Akira Haro, Motoharu Hamatake, Shuichi Tsukamoto
article en

Abstract

NSCLC tumor shapes showed biological properties according to each histological type, such as pleural invasion or lymphatic invasion.

Cancer Diagnosis & PrognosisVol. 5(4)
Kitakyushu Municipal Medical Center (JP), Kitakyushu City Hospital Organization (JP), Nippon Steel Yawata Memorial Hospital (JP)
Openalex Percentile: Top 76%
Radiomics and Machine Learning in Medical Imaging
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.