Browsing Departament d'Arquitectura i Tecnologia de Computadors by Subject "616"

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An approach to melanoma classification exploiting polarization information

Rastgoo, Mojdeh (Date of defense: 2016-06-13)

Malignant melanoma is the deadliest of skin cancers and causes the majority of deaths in comparison to other skin-related malignancies. Yet it is the most treatable type of cancer, thanks to its early diagnosis. Subsequently, ...

Automatic change detection in multiple pigmented skin lesions

Korotkov, Konstantin (Date of defense: 2014-07-08)

Malignant melanoma is the rarest and deadliest of skin cancers causing three times more deaths than all other skin-related malignancies combined. Fortunately, in its early stages, it is completely curable, making a total ...

Case-level detection of mammographic masses

Tortajada Giménez, Meritxell (Date of defense: 2017-07-17)

This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed ...

Computer aided detection for breast lesion in ultrasound and mammography

Agarwal, Richa (Date of defense: 2019-09-26)

In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less robust application ...

Computer-aided lesion detection and segmentation on breast ultrasound

Pons Rodríguez, Gerard (Date of defense: 2014-01-21)

This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, ...

Deformable object segmentation in ultra-sound images

Massich i Vall, Joan (Date of defense: 2013-12-04)

This thesis analyses the current strategies to segment breast lesions in Ultra-Sound (US) data and proposes a fully automatic methodology for generating accurate segmentations of breast lesions in US data with low false ...

Glandular tissue pattern analysis through multimodal MRI-mammography registration

García Marcos, Eloy (Date of defense: 2018-04-05)

Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging ...