Improved Deep Learning Framework for Segmenting and Classifying Skin Lesions using K-nearest neighbor algorithm and Multi-Instance Learning-Reference-Cited by-同舟云学术

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Improved Deep Learning Framework for Segmenting and Classifying Skin Lesions using K-nearest neighbor algorithm and Multi-Instance Learning

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

P Kiran Sai¹,Nayak Aditya²,Shiromani Shikhar³,Hemanth NVD⁴,Dekhane Aishwarya⁵,Patel Nisarg⁶

Affiliation:

1. T.John Institute Of Technology,Department of Electronics And Communication,Karnataka,India

2. St. Francis Institute of Technology,Department of Electronics and Telecommunication Engineering

3. BITS Pilani,Department of Electrical and Electronics Engineering

4. Mahatma Gandhi Institute of Technology,Department of Mechanical Engineering,Gandipet,India

5. P.E.S Modern College of Engineering,Department of Computer Engineering Engineering,Pune,India

6. DAIICT,Department of Information and Communication Technology,Gandhinagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073967/10073974/10074344.pdf?arnumber=10074344

Reference20 articles.

1. Skin Lesion Classification Using Densely Connected Convolutional Network

2. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

3. Skin lesion segmentation with deep learning

4. Multi-Class Skin Lesion Detection and Classification via Teledermatology

5. Convolutional Neural Networks Applied for Skin Lesion Segmentation

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