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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin
Άλλοι συγγραφείς: Hossain, Muhammad Iqbal
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
Deep learning
Convolutional neural network
CNN
Adrenocortical Carcinoma
Disease detection
Neural networks (Computer science)
Deep learning (Machine learning)
Computational intelligence
Διαθέσιμο Online:http://hdl.handle.net/10361/22838

Διαδίκτυο

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

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