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29 results on '"Nicola Altini"'

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1. Radiometric Infrared Thermography of Solar Photovoltaic Systems: An Explainable Predictive Maintenance Approach for Remote Aerial Diagnostic Monitoring

2. A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants

3. An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients

4. Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability

5. NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM

6. A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net

7. Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence

8. A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype

9. Focal Dice Loss-Based V-Net for Liver Segments Classification

10. Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters

11. Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN

12. Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants

16. Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs).

21. Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.

22. An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients

23. Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants

24. Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features

25. A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation

26. A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans

27. Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics

28. A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies

29. Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections

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