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

by Datta, Satyajeet.

Publisher: Dhaka Department of Electrical and Electronic Engineering, BUET 2022Description: xiv, 83 p.Subject(s): Diagnostic imaging-Digital techniques-Breast cancerOnline resources: Click here to access online

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Item type	Current location	Call number	Copy number	Status	Date due	Barcode
Thesis	Central Library, BUET Reference section	616.0754/DAT/2022 (Browse shelf)	1	Available		119232

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Previous	616.075/NAZ/2020 Automatic identification of different stages of cellulite from infrared thermographic images.	616.0750285/OSM/2019 Development of a web based expert system for diagnosis of heart disease using fuzzy logic	616.0750285/TAN/2021 Efficient deep neural network architectures with multi-receptive feature optimization for multi-dimensional data processing	616.0754/DAT/2022 Segmentation of breast lesions from ultrasound images using conditional generative adversarial network	616.0754/DEY/2019 High quality ultrasound B-mode image generation using 2-D multichannel-based deconvolution and multiframe-based adaptive despeckling algorithms	616.0754/FAH/2021 Prediction of cervical cancer in Bangladesh using hybrid machine learning algorithms	616.0754/JAM/2023 Deep learning based framework for 3D reconstruction of femur from QCT images	Next

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