Towards more accurate iris recognition system by using hybrid approach for feature extraction along with classifier
A Ullah, A Salam, H El-Raoui… - International Journal …, 2022 - strathprints.strath.ac.uk
Iris recognition become one of the most accurate and reliable steadfast human biometric
recognition system of the decad. This paper presents an accurate framework for iris …
recognition system of the decad. This paper presents an accurate framework for iris …
[PDF][PDF] Breast Lesions Classification applied to a reference database
JE De Oliveira, TM Deserno, ADA Araújo - 2nd international conference: E …, 2008 - Citeseer
In this paper, we propose a method to classify two breast lesions–mass and calcification,
despite their benignancy or malignancy. Applied to a reference database that provides …
despite their benignancy or malignancy. Applied to a reference database that provides …
[PDF][PDF] Combination of wavelet analysis and non-linear enhancement function for computer aided detection of microcalcifications
V Bhateja, S Devi - Proc. of International Conference on …, 2010 - researchgate.net
Microcalcifications are small densities that appear as bright spots on mammograms. Its
detection plays a very important role in breast cancer detection at early stages in digitized …
detection plays a very important role in breast cancer detection at early stages in digitized …
Detección de microcalcificaciones mamarias agrupadas
AA Sandino Garzón - 2018 - repository.udistrital.edu.co
Breast microcalcifications are non-palpable lesions present in approximately 55% of breast
cancer cases. It is a common find in mammograms and can be an indicator of this disease in …
cancer cases. It is a common find in mammograms and can be an indicator of this disease in …