Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks

Documenti analoghi

• Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
  di: Awad, Alaa, et al.
  Pubblicazione: (2025)
• Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
  di: Rehman, Abdul, et al.
  Pubblicazione: (2024)
• Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models
  di: Taha, Ahmed M., et al.
  Pubblicazione: (2025)
• An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
  di: Akter, Maksuda, et al.
  Pubblicazione: (2024)
• Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
  di: Khatun, Maleka, et al.
  Pubblicazione: (2024)