Accurate Segmentation of Thyroid Regions in Ultrasound Images: An Innovative Approach Using Deep Learning Arhitectures

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-10-15
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate Segmentation of Thyroid Regions in Ultrasound Images: An Innovative Approach Using Deep Learning Arhitectures

Haifa Ghabri, Mohamed Hamroun, Hédi Sakli, Hédia Bellali et al.
SPIRE - Sciences Po Institutional REpository
AI in cancer detection
article

Accurate Segmentation of Thyroid Regions in Ultrasound Images: An Innovative Approach Using Deep Learning Arhitectures

Haifa Ghabri, Mohamed Hamroun, Hédi Sakli, Hédia Bellali, Wyssem Fathallah
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
XLIM (FR)
Openalex Percentile: Top 71%
AI in cancer detection
Open Access PDFOpenAlex
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.

Accurate Segmentation of Thyroid Regions in Ultrasound Images: An Innovative Approach Using Deep Learning Arhitectures — Haifa Ghabri, Mohamed Hamroun, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS