RESEARCHER PROFILE
Alessandro Santana Martins
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Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro
Alessandro Santana Martins works in AI in cancer detection, Image Retrieval and Classification Techniques, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Cell Image Analysis Techniques. Recorded institutional associations include Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro.
44Publications
569Citations
13H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Classification of masses in mammographic image using wavelet domain features and polynomial classifier
2013 · 77 citationsLBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues
2016 · 76 citationsClassification of colorectal cancer based on the association of multidimensional and multiresolution features
2018 · 48 citationsUnsupervised method for normalization of hematoxylin-eosin stain in histological images
2019 · 35 citationsFeatures based on the percolation theory for quantification of non-Hodgkin lymphomas
2017 · 34 citationsComputational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
2022 · 33 citationsExploring polynomial classifier to predict match results in football championships
2017 · 31 citationsLymphoma images analysis using morphological and non-morphological descriptors for classification
2018 · 29 citationsClassification of breast and colorectal tumors based on percolation of color normalized images
2019 · 26 citationsHybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
2023 · 21 citationsA stain color normalization with robust dictionary learning for breast cancer histological images processing
2023 · 18 citationsA Hermite polynomial algorithm for detection of lesions in lymphoma images
2020 · 17 citationsOralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification
2024 · 16 citationsAnalysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images
2023 · 12 citationsAnalysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images
2018 · 11 citationsColour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images
2019 · 10 citationsAnalysis of cancer in histological images: employing an approach based on genetic algorithm
2020 · 10 citationsAnalysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images
2020 · 8 citationsAssessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading
2022 · 8 citationsAutomated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks
2019 · 7 citationsAn ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images
2024 · 6 citationsSegmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization
2020 · 5 citationsExploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images
2024 · 5 citationsClassification of lymphomas images with polynomial strategy: An application with Ridge regularization
2022 · 4 citationsEvaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images
2024 · 4 citations