28 results
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2. New Findings Reported from Central University of Haryana Describe Advances in Brain Cancer (Privacy Preserved Collaborative Transfer Learning Model With Heterogeneous Distributed Data for Brain Tumor Classification).
3. Report Summarizes Cancer Study Findings from Kerman University of Medical Sciences (Extracting cancer concepts from clinical notes using natural language processing: a systematic review).
4. Investigators from Chinese Academy of Sciences Have Reported New Data on Gliomas (An Adaptive Enhancement Method Based On Stochastic Parallel Gradient Descent of Glioma Image).
5. Dalian University Researchers Have Published New Data on Gliomas (Multimodal Glioma Segmentation with Fusion of Multiple Self-attention and Deformable Convolutions).
6. Research on Cancer Discussed by a Researcher at Universiti Malaya (Dual therapy of cancer using optimal control supported by swarm intelligence).
7. Reports from College of Engineering and Technology Highlight Recent Findings in Cancer Detection (Comparative Study and Analysis On Skin Cancer Detection Using Machine Learning and Deep Learning Algorithms).
8. New Brain Cancer Findings Reported from College of Animal Sciences and Technology (Early Detection of Brain Tumors: Harnessing the Power of Gru Networks and Hybrid Dwarf Mongoose Optimization Algorithm).
9. Reports from Hebei University Advance Knowledge in Neuroblastomas (Neuroblastoma Differentiation Type Diagnosis Algorithm Based On Dense-u-net Using Whole Slide Images).
10. Findings from Anhui University Yields New Data on Cancer (An Adaptive Conjugate Gradient Accelerated Evolutionary Algorithm for Multi-objective Spot Optimization In Cancer Intensity Modulated Proton Therapy).
11. Report Summarizes Cancer Study Findings from VIT Bhopal University (A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification).
12. Research from HITEC University Yields New Findings on Brain Cancer (Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm).
13. Findings from GLA University Provide New Insights into Breast Cancer (Efficient Feature Selection for Breast Cancer Classification Using Soft Computing Approach: a Novel Clinical Decision Support System).
14. Studies in the Area of Glioblastomas Reported from Tehran University of Medical Sciences (Marker-controlled watershed algorithm and fuzzy C-means clustering machine learning: automated segmentation of glioblastoma from MRI images in a case...).
15. Researchers from Coimbatore Describe Findings in Brain Cancer (Multi class robust brain tumor with hybrid classification using DTA algorithm).
16. Findings from Department of Electrical and Communication Engineering Provide New Insights into Cancer Detection (Fpga Implementation of Breast Cancer Detection Using Svm Linear Classifier).
17. Study Findings from VIT-AP University Advance Knowledge in Brain Cancer (RU-Net2+: A Deep Learning Algorithm for Accurate Brain Tumor Segmentation and Survival Rate Prediction).
18. Department of Orthopedics Researchers Have Published New Study Findings on Bone Cancer (Bone tumor examination based on FCNN-4s and CRF fine segmentation fusion algorithm).
19. Reports Outline Cancer Detection Findings from Department of Electrical and Communication Engineering (Skin Cancer Detection From Dermoscopic Images Using Deep Siamese Domain Adaptation Convolutional Neural Network Optimized With Honey Badger...).
20. New Gliomas Research from Gazi University Discussed (Glioma Grade Classification Using CNNs and Segmentation With an Adaptive Approach Using Histogram Features in Brain MRIs).
21. Research on Liver Cancer Discussed by a Researcher at University of Texas El Paso (Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes).
22. Reports from Chosun University Highlight Recent Findings in Brain Cancer (Brain Tumor Diagnosis Using a Step-by-step Methodology Based On Courtship Learning-based Water Strider Algorithm).
23. New Findings from Xidian University Describe Advances in Brain Cancer (Fast Brain Tumor Detection Using Adaptive Stochastic Gradient Descent On Shared-memory Parallel Environment).
24. Research Reports on Machine Learning from University of Texas MD Anderson Cancer Center Provide New Insights (On the importance of interpretable machine learning predictions to inform clinical decision making in oncology).
25. Reports Summarize Cancer Findings from Islamic Azad University (Metaheuristic Algorithm Based Hyper-parameters Optimization for Skin Lesion Classification).
26. New Carcinomas Study Findings Have Been Published by a Researcher at Czech Technical University (Distinguishing Healthy and Carcinoma Cell Cultures Using Fluorescence Spectra Decomposition with a Genetic-Algorithm-Based Code).
27. Recent Findings in Glioblastomas Described by a Researcher from Mercer University (Assessing Metabolic Markers in Glioblastoma Using Machine Learning: A Systematic Review).
28. Study Findings on Brain Cancer Discussed by Researchers at University of Ha'il (Hybrid Techniques of Analyzing MRI Images for Early Diagnosis of Brain Tumours Based on Hybrid Features).
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