"Making Deep Learning Models Clinically Useful - Improving Diagnostic ..."

Biraja Ghoshal et al. (2024)

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DOI: 10.1007/978-3-031-73158-7_5

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

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  - conf/miccai/GhoshalWMAGVLSLSFWMFHHS24
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Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos:
Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. UNSURE@MICCAI 2024: 47-58

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