Transfer learning with class-weighted and focal loss function for automatic skin cancer classification

DNT Le, HX Le, LT Ngo, HT Ngo - arXiv preprint arXiv:2009.05977, 2020 - arxiv.org
… a loss function called focal loss [36]. Focal loss is a special type of categorical loss that seeks
… The novel focal loss focuses on training on a sparse set of hard examples and prevents the …

A deep CNN transformer hybrid model for skin lesion classification of dermoscopic images using focal loss

Y Nie, P Sommella, M Carratù, M O'Nils, J Lundgren - Diagnostics, 2022 - mdpi.com
… We also conducted experiments to evaluate the three different loss functions in skin cancer
classification. We compared the results with recent studies to examine the performance of the …

… lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function

R Agrawal, N Gupta, AS Jalal - Multimedia Tools and Applications, 2024 - Springer
… Class Balanced Focal Loss function based lightweight Deep … adaptive class balance focal
loss function which can quickly … is validated on three popular skin cancer datasets which are …

Focal rank loss function with encoder-decoder network for skin lesion segmentation

L Wang, L Zhang, X Shu - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Skin cancer is a major health problem as melanoma is one … new hybrid loss function based
on focal loss and rank loss is … hard-easy classified pixels problem in skin lesion segmentation …

Improving skin-disease classification based on customized loss function combined with balanced mini-batch logic and real-time image augmentation

TC Pham, A Doucet, CM Luong, CT Tran… - IEEE Access, 2020 - ieeexplore.ieee.org
skin cancer mortality rates. Recently, artificial intelligence has come to the forefront to facilitate
skin cancer … The Focal Loss [35] function and CoSen [37] CNN show this versatility, and it …

Weighted focal loss: An effective loss function to overcome unbalance problem of chest X-ray14

R Qin, K Qiao, L Wang, L Zeng, J Chen… - IOP Conference Series …, 2018 - iopscience.iop.org
… Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639):115-118,
2017. [3] Islam, Mohammad Tariqul, Aowal, Md Abdul, Minhaz, Ahmed Tahseen…

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
… Note that the two classification networks use cross-entropy loss function, and we also use
the focal loss as a comparison experiment, the cross-entropy loss function is used to the …

An end-to-end multi-task deep learning framework for skin lesion analysis

L Song, J Lin, ZJ Wang, H Wang - IEEE journal of biomedical …, 2020 - ieeexplore.ieee.org
… [16] were the first to achieve the dermatologist-level classification performance of skin cancer
using … for skin lesion analysis. r We design an effective loss function based on the focal loss

Semi-supervised skin cancer diagnosis based on self-feedback threshold focal learning

W Yuan, Z Du, S Han - Discover Oncology, 2024 - Springer
… To alleviate the impact of class imbalance in training data after sample screening on
model training, this paper introduces Focal Loss [31] to perform weighted feature learning on …

Skin cancer classification with deep learning: a systematic review

Y Wu, B Chen, A Zeng, D Pan, R Wang… - Frontiers in …, 2022 - frontiersin.org
skin cancer classification task. Finally, by summarizing different deep learning-based methods
to solve the frontier challenges in skin cancer classification, … A focal loss was proposed to …