Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"Lesion segmentation"”.
-
THRESHOLDING METHODS FOR LESION SEGMENTATION OF BASAL CELL CARCINOMA IN DERMOSCOPY IMAGES
… detection is the first and most crucial step for lesion segmentation and can be very challenging, due to several lesion characteristics. There are many melanoma border-detecting algorithms that perform poorly on dermoscopy images of basal cell carcinoma (BCC), which is the most common skin cancer. …
-
Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions
… of melanoma from dermoscopic images of skin lesions is the most efficient method in early diagnosis. An automated melanoma identification system must include multiple steps, involving lesion segmentation, feature extraction, feature combination and classification. In this research, a …
-
Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices
… on the development of techniques for precise lesion segmentation, efficient image sampling for feature extraction, and skin image modeling for accurate lesion classification. For lesion segmentation, a new method is proposed based on fusion of the partial masks derived from separate …
-
Information theoretic design of breast sonography
… except for one case involving high-contrast lesions. This study explores an adaptive, iterative Wiener filter that includes a lesion segmentation algorithm to improve discriminability for high-contrast lesions. Predicted performance is compared with that measured from trained human observers …
-
Lesion identification and the effect of lesion on motor mapping after stroke
… projects. Firstly, I improved an automatic lesion segmentation method to aid in the identification of the location and extent of the stroke in structural magnetic resonance imaging (MRI) images. I developed a point and click interface that allows for the automatic segmentation as well as …
-
Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes
… training datasets (voxel-wise labelling of each lesion), which tend to be expensive to acquire. Alternatively, the use of weakly labelled datasets (i.e volume-level labels) allows diagnosis to become a supervised classification problem, where a malignancy probability is estimated after examining …