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1. Robust strain estimation and bi-modal ultrasonic feature extraction methods for improved diagnosis of breast tumors

by Sharmin Rowshan Ara.

Publisher: Dhaka Department of Electrical and Electronic Engineering, BUET 2016Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/SHA/2016] (1).

2. Hybrid feature based method for early detection and classification of mammographic density in breast cancer diagnosis

by Najmus Saltanat.

Publisher: Dhaka Electrical and Electronic Engineering, BUET Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/NAJ/2011 /NAJ/2011] (1).

3. Automatic detection of gastrointestinal diseases from capsule endoscopy video based on probabilistic modeling of least square saliency transformed images

by Kundu, Amit Kumar.

Publisher: Dhaka Department of Electrical and Electronic Engineering, BUET 2019Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/KUN/2019] (1).

4. Prediction of cervical cancer in Bangladesh using hybrid machine learning algorithms

by Fahima Khanam.

Publisher: Dhaka Institute of Information and Communication Technology, BUET 2021Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/FAH/2021] (1).

5. Segmentation of breast lesions from ultrasound images using conditional generative adversarial network

by Datta, Satyajeet.

Publisher: Dhaka Department of Electrical and Electronic Engineering, BUET 2022Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/DAT/2022] (1).

6. Deep learning based framework for 3D reconstruction of femur from QCT images

by Jamalia Sultana.

Publisher: Dhaka Department of Computer Science and Engineering, BUET 2022Online Access: Click here to access online Availability: Items available for loan: Central Library, BUET [616.0754/JAM/2023] (1).