Chapter 1 Introduction to machine learning and Image Processing for disease detection.- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease.- Chapter 3 Introduction to deep learning for disease prediction.- Chapter 4 A survey of image classification techniques for the prediction of diseases.- Chapter 5 Prediction of disease related to heart by using different techniques: A survey.- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning.- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview.- Chapter 8 Detection of Parkinson s disease using different machine learning techniques: A comparative analysis.- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques.- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms.- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder.- Chapter 13 Skin Disease Prediction using machine learning techniques.- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection.- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images.- Chapter 16 Application of AI to detect Brain Tumors.- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence.- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth.- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning.- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques.
ukryj opis- Wydawnictwo: Springer, Berlin
- Kod:
- Rok wydania: 2025
- Język: Angielski
- Oprawa: Oprawa twarda wypełniona gąbką
- Liczba stron: 383
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