Automatic skin cancer detection in dermoscopy images based on ensemble lightweight deep learning network

L Wei, K Ding, H Hu - IEEE Access, 2020 - ieeexplore.ieee.org
The complex detection background and lesion features make the automatic detection of
dermoscopy image lesions face many challenges. The previous solutions mainly focus on …

A dermoscopic skin lesion classification technique using YOLO-CNN and traditional feature model

R Nersisson, TJ Iyer, AN Joseph Raj… - Arabian Journal for …, 2021 - Springer
Skin cancer is one of the most deadly diseases around the world, wherein one of the three
cancers is skin cancer. Early detection of skin cancer is paramount for better treatment …

[PDF][PDF] Pembuatan Aplikasi Deteksi Objek Menggunakan TensorFlow Object Detection API dengan Memanfaatkan SSD MobileNet V2 Sebagai Model Pra-Terlatih …

PR Aningtiyas, A Sumin, S Wirawan - Jurnal Ilmiah Komputasi, 2020 - scholar.archive.org
Deteksi objek merupakan salah satu teknik untuk menemukan objek dalam gambar atau
video. Salah satu metode untuk membuat deteksi objek adalah menggunakan TensorFlow …

Analysis and classification of skin cancer images using convolutional neural network approach

K Zaman, JI Bangash, SS Maghdid… - 2020 4th …, 2020 - ieeexplore.ieee.org
In this modern era skin cancer is a serious problem around the globe and so it is the age of
technology and it is important to solve this problem through intelligence machines which …

[PDF][PDF] Detecting lumbar implant and diagnosing scoliosis from vietnamese X-ray imaging using the pre-trained api models and transfer learning

C Le Van, LN Bao, V Puri, NT Thao… - CMC Comput. Mater …, 2021 - cdn.techscience.cn
With the rapid growth of the autonomous system, deep learning has become integral parts to
enumerate applications especially in the case of healthcare systems. Human body vertebrae …

The development of skin lesion detection application in smart handheld devices using deep neural networks

YC Hum, HR Tan, YK Tee, WS Yap, TS Tan… - Multimedia Tools and …, 2022 - Springer
Early detection of malignant skin lesions improves patient survival rates. Conventional self-
detection method for public invariably suffers from limitations: subjectivity, inaccuracy, and …

Implementasi Model Convolutional Neural Network (CNN) pada Aplikasi Deteksi Kanker Kulit Menggunakan Expo React Native

AA Yonismara, A Salam - Building of Informatics, Technology …, 2024 - ejurnal.seminar-id.com
Skin is the outermost organ of the human body, serving to protect the internal parts from
threats such as sunlight exposure. Excessive exposure to sunlight can potentially cause skin …

Driver drowsiness detection system through facial expression using convolutional neural networks (CNN)

ND Gupta, R Rajoo, PJ Jacob - Malaysian Journal of Computing …, 2023 - ir.uitm.edu.my
Driver drowsiness or fatigue is a significant factor that causes road accidents each year and
considerably affects road safety. According to the World Health Organization (WHO), drowsy …

[PDF][PDF] Medical images classification for skin cancer using convolutional neural network algorithms

K Zaman, SS Maghdid - Advances in Mechanics, 2021 - researchgate.net
In this modern period, skin cancer is a major problem all over the world, and since we live in
the age of technology, it is most Beneficial to solve this problem using intelligence machines …

Onboard visual drone detection for drone chasing and collision avoidance

MK Makirin, LM Wastupranata, A Daffa - AIP Conference Proceedings, 2021 - pubs.aip.org
We proposed a method for real-time detection of flying drones and UAVs that could be run
with a limited computing device like an onboard computer for a drone. This method is …