28 results on '"Altini, Nicola"'
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2. SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data
3. Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy
4. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification
5. Radiometric Infrared Thermography of Solar Photovoltaic Systems: An Explainable Predictive Maintenance Approach for Remote Aerial Diagnostic Monitoring
6. #3070 Machine learning glomerulonephritis diagnosis on single glomeruli
7. Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
8. Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features
9. A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation
10. A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans
11. Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features
12. A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans
13. A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation
14. An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients
15. A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants
16. NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM
17. A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net
18. Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability.
19. Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence
20. A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype
21. Computational imaging for precision medicine: the emergence of radiomics, pathomics and deep learning
22. Focal Dice Loss-Based V-Net for Liver Segments Classification
23. Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters
24. Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics
25. Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN
26. Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants
27. A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies
28. Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections
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