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Repurposed Drugs Against Lung Cancer
Drug Repurposing Evaluates Established Medicines For Therapeutic Indications Beyond Their Original Use. In Lung Cancer, Repurposing Is Attractive Because Existing Pharmacological And Safety Information Can Accelerate Hypothesis Generation,...
Hybrid Graph Attention And Temporal Deep Learning Framework For Early Prediction Of Cervical Cancer Risk
Cervical Cancer Remains One Of The Leading Causes Of Cancer-related Deaths Among Women Worldwide. Early Identification Of High-risk Individuals Is Essential For Timely Intervention And Improved Survival Rates. Traditional Machine Learning A...
Classification Of Oral Cancer From White Light Image Using A Machine Learning Algorithm For Enhanced Accuracy
This Research Aims To Develop A New Framework For The Early Identification Of Oral Cancer Through Multimodal Data Fusion With LSTM Networks And CNNs. The Performance Of The Proposed Framework Is Tested For Sensitivity, Specificity, And Accu...
AN INTELLIGENT MULTI-ALGORITHM MACHINE LEARNING SYSTEM FOR SKIN DISEASE CLASSIFICATION AND PREDICTION
This Paper Proposes An Interpretable And Explainable Multi-class Skin Lesion Classification Model For The HAM10000 Dataset. Timely Detection Of Skin Cancer Is Important But Difficult Due To Class Imbalance And Uninterpretability Of Current...
ANALYSIS OF MOUTH SELF EXAMINATION AWARENESS AMONG MEDICAL STUDENTS
Introduction: Oral Cancer Remains A Major Public Health Concern In India, With High Morbidity And Mortality Largely Due To Late Diagnosis. Mouth Self-examination (MSE) Is A Simple, Cost-effective Method For Early Detection Of Potentially Ma...
The Breast Cancer Recurrence Prediction
Breast Cancer Recurrence Remains One Of The Most Critical Challenges In Long-term Oncology Care, Posing Significant Risks Even After Successful Primary Treatment. While Advances In Early Diagnosis And Therapeutic Interventions Have Improved...
LUNG TUMOR SEGMENTATION USING VISUAL GEOMETRY GROUP NETWORKS IN MRI IMAGES
Lung Cancer Is One Of The Most Life-threatening Diseases Worldwide, And Early Diagnosis Significantly Increases The Chances Of Survival. Accurate Detection And Classification Of Lung Tumors Remain Challenging Due To Variations In Tumor Size...
EARLY DETECTION OF CANCER USING ARTIFICIAL INTELLIGENCE
The Identification Of Lung Cancer At The Early Stage Is Very Demanding And Difficult Task Due To Construction Of The Cell. The Cancer Grows In The Body When Cancerous Cells Start To Develop Uncontrollably. The Image Processing Plays Vital R...
Early Detection Of Kidney Cancer Using Machine Learning-Based Predictive Modeling
Kidney Cancer Remains A Serious Health Threat Worldwide, With Many Cases Undetected Until Reaching Advanced Stages, Leading To Reduced Survival Rates. Factors Like Limited Awareness And Insufficient Diagnostic Resources Contribute To High M...
Breast Cancer Detection Using Hybrid Ri-Vit In Histopathalogical Images
Breast Cancer Remains A Significant Global Health Concern, Impacting Millions Of Women Each Year. Timely Detection And Precise Diagnosis Are Essential To Enhancing Treatment Success And Lowering Death Rates. Histopathological Imaging Is Wid...
Predictive Breast Cancer Modeling Using Machine Learning
Breast Cancer Is A Form Of Tumor That Develops Within Breast Tissues And Remains The Most Prevalent Cancer Among Women Globally, Ranking As One Of The Leading Causes Of Female Mortality. This Survey Examines The Evolving Landscape Of Predic...
ROLE OF PHYTOCHEMICALS IN HUMAN LIFE – AN OVERVIEW
Phytochemicals Are Bioactive Compounds Found In Plants That Contribute To Human Health By Providing Antioxidant, Anti-inflammatory, Antimicrobial, And Anticancer Properties. These Naturally Occurring Compounds Include Flavonoids, Alkaloids,...
Early-Stage Oral Cancer Identification Using White Light Imaging And LightGBM Algorithm
Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniqu...
Advanced Detection Of Breast Cancer Through Machine Learning : A Comprehensive Investigation
Breast Cancer Is One Of The Most Widespread And Deadly Types Of Cancer. Early And Accurate Diagnosis Of Breast Cancer Improves The Chances Of Survival And Also The Treatment. Breast Cancer Is Detectable Very Early With ML Techniques That Ar...
Brain Tumor Segmentation Using Deep Learning
A Mass Of Tissue That Grows Out Of Control Is Called A Tumor. We Can Make Use Of The Profound Learning Designs CNN (Convolution Brain Organization), NN (Brain Organization), And KFOLDS To Locate A Mind Expansion. K FOLDS Underwriting Uphold...