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.

Bibliographische Detailangaben
Hauptverfasser: Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin
Weitere Verfasser: Hossain, Muhammad Iqbal
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2024
Schlagworte:
Deep learning
Convolutional neural network
CNN
Adrenocortical Carcinoma
Disease detection
Neural networks (Computer science)
Deep learning (Machine learning)
Computational intelligence
Online Zugang:http://hdl.handle.net/10361/22838

Online

http://hdl.handle.net/10361/22838

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