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.

Bibliografiset tiedot
Päätekijät:	Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin
Muut tekijät:	Hossain, Muhammad Iqbal
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Deep learning Convolutional neural network CNN Adrenocortical Carcinoma Disease detection Neural networks (Computer science) Deep learning (Machine learning) Computational intelligence
Linkit:	http://hdl.handle.net/10361/22838

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