Resenet CNN Diagnosis Model

Developed a high-sensitivity Deep Learning solution using PyTorch and CNNs to analyze unstructured X-Ray datasets. The project implemented transfer learning to fine-tune pre-trained networks, effectively minimizing false negatives and automating the detection of pneumonia to assist in accurate clinical diagnoses.