Habitat-Radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study - Top-Institutions - MDSpire

Habitat-Radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study

By
shengnan, Yin
Ning, Ding
Chuqi, Yang
Shaocai, Wang
Mengjuan, Li
Ji, Yiding
Tong, Liu
Long, Jin
May 27, 2026
0 min

Frontiers In Endocrinology

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

#1

The University of Texas MD Anderson Cancer Center

Houston, Texas
Key Differentiators
- Oncology
- Radiology
#2

Memorial Sloan Kettering Cancer Center

New York, New York
Key Differentiators
- Oncology
- Radiology
#3

University Medical Center Goettingen

Göttingen, Lower Saxony
Key Differentiators
- Urology
- Radiology
#4

Saarland University

Homburg, Saarland
Key Differentiators
- Urology
- Radiology
#5

University Hospital Tübingen

Tübingen, Baden-Württemberg
Key Differentiators
- Dermatology
- Radiology

Original Source(s)

Frontiers In Endocrinology

Habitat-Radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study

by shengnan, Yin , Ning, Ding , Chuqi, Yang , Shaocai, Wang , Mengjuan, Li , Ji, Yiding , Tong, Liu , Long, Jin
May 27, 2026

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