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Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms

Flavio P. Loss
Pedro H. da Cunha
Matheus B. Rocha
Madson P. Zanoni
Leandro M. de Lima
Isadora Tavares Nascimento
Isabella Rezende
Tania R. P. Canuto
Luciana de Paula Vieira
Renan Rossoni
Maria C. S. Santos
P. H. Frasson
W. Romão
P. Filgueiras
R. Krohling
ArXiv (abs)PDFHTML

Papers citing "Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms"

7 / 7 papers shown
Title
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Breno Krohling
Pedro B. C. Castro
André G. C. Pacheco
R. Krohling
MedIm
53
18
0
28 Apr 2021
The impact of patient clinical information on automated skin cancer detection
The impact of patient clinical information on automated skin cancer detection
André G. C. Pacheco
R. Krohling
83
157
0
16 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
679
5,872
0
25 Jul 2019
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu
Margarita Osadchy
L. Ashton
Michael Foster
C. Solomon
S. Gibson
48
312
0
18 Aug 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,747
0
09 Jun 2011

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