Publications by authors named "J Jospin Jeya"
Article Synopsis
- Medical imaging is essential for disease diagnosis, but traditional methods face challenges like subjective interpretation and difficulty with complex images.
- This research introduces an integrated deep learning model using pre-trained networks (VGG16, ResNet50, InceptionV3) aimed at improving lung cancer detection accuracy by streamlining image data and enhancing feature extraction.
- The model demonstrated impressive performance, achieving 98.18% accuracy and strong precision and recall rates during validation on a specific lung cancer dataset from Iraq, showcasing the promise of advanced deep learning approaches in medical diagnostics.
Background: Chondroprogenitors, with enhanced chondrogenic potential, have emerged to be a promising alternative for cell-based therapy in cartilage repair. Platelet-rich plasma (PRP), widely used for intra-articular treatment, has a short half-life. Freeze-dried PRP (FD-PRP), with an extended half-life and retained growth factors, is gaining attention.
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