Skin Cancer Detection using VGG16, InceptionV3 and ResUNet-Reference-Cited by-同舟云学术

Skin Cancer Detection using VGG16, InceptionV3 and ResUNet

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Swathi B.¹,Kannan K.S.²,Chakravarthi S. Sreenivasa³,Ruthvik Getla⁴,Avanija J.⁵,Reddy C. Chandra Mohan⁴

Affiliation:

1. G Pulla Reddy Engineering College,Dept of CSE,Kurnool,AP,India

2. Kalasalingam Academy of Research and Education(Deemed to be University),Department of CSE,Krishnankoil,Tamil Nadu

3. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Chennai,India

4. Sree Vidyanikethan Engg. College,Dept. of CSE,Tirupati,India

5. Mohan Babu University(Erstwhile Sree Vidyanikethan Engineering. College),Dept. of CSE,Tirupati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193609.pdf?arnumber=10193609

Reference20 articles.

1. A Combined Approach Using Image Processing and Deep Learning to Detect Pneumonia from Chest X-Ray Image

2. Dermoscopic Image Analysis for Skin Lesion Classification Using Dense Convolutional Network

3. Offline Signature Ident ification and Verification Using InceptoinV3;gumusbas;2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA),2019

4. The Influence of Image Augmentation on Breast Lesion Classification Using Transfer Learning

5. Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

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1. Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency;Applied Sciences;2024-08-23

2. Explainable AI Insights into Skin Cancer Detection: A Comparative Study of CNN, DenseNet, and ResNet;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

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