Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Detalles Bibliográficos
Autores principales: Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin
Otros Autores: Hossain, Muhammad Iqbal
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Deep learning
Convolutional neural network
CNN
Adrenocortical Carcinoma
Disease detection
Neural networks (Computer science)
Deep learning (Machine learning)
Computational intelligence
Acceso en línea:http://hdl.handle.net/10361/22838

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