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.

Bibliografiska uppgifter
Huvudupphovsmän:	Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin
Övriga upphovsmän:	Hossain, Muhammad Iqbal
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Deep learning Convolutional neural network CNN Adrenocortical Carcinoma Disease detection Neural networks (Computer science) Deep learning (Machine learning) Computational intelligence
Länkar:	http://hdl.handle.net/10361/22838

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