RadFormer: Transformers with global-local attention for interpretable and accurate Gallbladder Cancer detection.

Basu, Soumen; Gupta, Mayank; Rana, Pratyaksha; Gupta, Pankaj; Arora, Chetan

Basu, Soumen; Gupta, Mayank; Rana, Pratyaksha; Gupta, Pankaj; Arora, Chetan.

Affiliation

Basu S; Department of Computer Science, Indian Institute of Technology Delhi, New Delhi, India. Electronic address: soumen.basu@cse.iitd.ac.in.
Gupta M; Department of Computer Science, Indian Institute of Technology Delhi, New Delhi, India.
Rana P; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Gupta P; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Arora C; Department of Computer Science, Indian Institute of Technology Delhi, New Delhi, India.

Med Image Anal ; 83: 102676, 2023 01.

Article in En | MEDLINE | ID: mdl-36455424

Subject(s)

Gallbladder Neoplasms; Humans; Gallbladder Neoplasms/diagnostic imaging; Learning; Neural Networks, Computer; Software

Key words

Explainable AI; Gallbladder Cancer; Ultrasound Sonography; Visual transformer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gallbladder Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Type: Article

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