If you liked Deep Learning in Diabetes Mellitus Detection and Diagnosis by Jyotismita Chaki, start with Beginner's Guide to Image Shape Feature Extraction Techniques (2019), Brain Tumor MRI Image Segmentation Using Deep Learning Techniques (2021), and Diagnosis of Neurological Disorders Based on Deep Learning Techniques (2023). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Deep Learning in Diabetes Mellitus Detection and Diagnosis · Jyotismita Chaki books in order

Recommended next reads

  1. 1 Beginner's Guide to Image Shape Feature Extraction Techniques 2019 · 152 pages · Jyotismita Chaki, Nilanjan Dey · Same author
  2. 2 Brain Tumor MRI Image Segmentation Using Deep Learning Techniques 2021 · 240 pages · Jyotismita Chaki · Same author
  3. 3 Diagnosis of Neurological Disorders Based on Deep Learning Techniques 2023 · 222 pages · Jyotismita Chaki · Same author
  4. 4 Sensors for Health Monitoring 2019 · 322 pages · Nilanjan Dey, Jyotismita Chaki · Same author
  5. 5 Handling Uncertainty in Artificial Intelligence 2023 · 101 pages · Jyotismita Chaki · Same author
  6. 6 Beginner's Guide to Image Preprocessing Techniques 2018 · 100 pages · Jyotismita Chaki, Nilanjan Dey · Same author
  7. 7 Artificial Intelligence for Coronavirus Outbreak 2020 · 85 pages · Simon James Fong, Nilanjan Dey, Jyotismita Chaki · Same author
  8. 8 Digital Future of Healthcare 2021 · 248 pages · Nilanjan Dey, Nabanita Das, Jyotismita Chaki · Same author
  9. 9 Current Applications of Deep Learning in Cancer Diagnostics 2023 · 200 pages · Jyotismita Chaki · Same author
  10. 10 Image Color Feature Extraction Techniques 2020 · 95 pages · Jyotismita Chaki, Nilanjan Dey · Same author
  11. 11 Beginner�s Guide to Image Shape Feature Extraction Techniques 2021 · 152 pages · Jyotismita Chaki, Nilanjan Dey · Same author
  12. 12 Beginner¿s Guide to Image Pre-Processing Techniques 2020 · 100 pages · Jyotismita Chaki, Nilanjan Dey · Same author

Frequently asked questions

What should I read after Deep Learning in Diabetes Mellitus Detection and Diagnosis?

BookOrb recommends Beginner's Guide to Image Shape Feature Extraction Techniques (2019), Brain Tumor MRI Image Segmentation Using Deep Learning Techniques (2021), Diagnosis of Neurological Disorders Based on Deep Learning Techniques (2023), Sensors for Health Monitoring (2019), and Handling Uncertainty in Artificial Intelligence (2023).

Are there books like Deep Learning in Diabetes Mellitus Detection and Diagnosis?

Yes. The list on this page is ranked from the closest matches BookOrb has for Deep Learning in Diabetes Mellitus Detection and Diagnosis.

Who wrote Deep Learning in Diabetes Mellitus Detection and Diagnosis?

Deep Learning in Diabetes Mellitus Detection and Diagnosis is by Jyotismita Chaki.