Computer aided diagnosis of breast cancer in digitized mammograms von Christoyianni, I., Koutras, A., Dermatas, E., Kokkinakis, G.

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Neural classification of abnormal tissue in digital mammography using statistical features of the texture von Christoyianni, I., Dermatas, E., Kokkinakis, G.

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Fast detection of masses in computer-aided mammography von Christoyianni, I., Dermatas, E., Kokkinakis, G.

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Revealing Occult Malignancies in Mammograms Through GAN-Driven Breast Density Transformation von Anyfantis, Dionysios, Koutras, Athanasios, Apostolopoulos, George, Christoyianni, Ioanna

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Breast Density Transformations Using CycleGANs for Revealing Undetected Findings in Mammograms von Anyfantis, Dionysios, Koutras, Athanasios, Apostolopoulos, George, Christoyianni, Ioanna

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Fast detection of masses in digitized mammograms von Christoyianni, I., Dermatas, E., Kokkinakis, G.

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Computer aided classification of mammographic tissue using independent component analysis von Christoyianni, I., Koutras, A., Dermatas, E.

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Automatic detection of abnormal tissue in mammography von Christoyianni, I., Dermatas, E., Kokkinakis, G.

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Modeling of roughness evolution during the etching of inhomogeneous films: material-induced anomalous scaling von Constantoudis, V, Christoyianni, H, Zakka, E, Gogolides, E

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Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors von Apostolopoulos, George, Koutras, Athanasios, Anyfantis, Dionysios, Christoyianni, Ioanna, Dermatas, Evangelos

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An evaluation of image descriptors combined with clinical data for breast cancer diagnosis von Moura, Daniel C., Guevara López, Miguel A.

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A Monte Carlo simulation model for surface evolution by plasma etching von Chen, Fangfang, Zhu, Kaigui, Chen, Aqing, Huang, Weijie, Feng, Lishuang, Zhou, Zhen, Ge, Guanglu

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Classification of Mammograms Using Decision Trees von Vibha, L., Harshavardhan, G.M., Pranaw, K., Deepa Shenoy, P., Venugopal, K.R., Patnaik, L.M.

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Statistical Classification of Mammograms Using Random Forest Classifier von Vibha, L., Harshavardhan, G.M., Pranaw, K., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.

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Another Approach to Detection of Abnormalities in MR-Images Using Support Vector Machines von Behnamghader, Ehsan, Ardekani, Reza Dehestani, Torabi, Meysam, Fatemizadeh, Emad

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A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation von Meselhy Eltoukhy, Mohamed, Faye, Ibrahima, Belhaouari Samir, Brahim

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Deep convolutional neural networks for mammography: advances, challenges and applications von Abdelhafiz, Dina, Yang, Clifford, Ammar, Reda, Nabavi, Sheida

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Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection von Rojas Domínguez, Alfonso, Nandi, Asoke K

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Decision tree classifiers for automated medical diagnosis von Azar, Ahmad Taher, El-Metwally, Shereen M.

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Detecting masses in dense breast using independent component analysis von de Oliveira Silva, Luis Claudio, Barros, Allan Kardec, Lopes, Marcus Vinicius

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