Most Read Articles
Pearl Toh, 5 days ago
Having migraine during midlife appears to be associated with a higher risk of developing dementia in later life, according to a large population-based longitudinal Danish study presented at the AHS* 2020 Virtual Meeting, indicating that migraine may be a risk factor for dementia.
5 days ago
Patients with psoriatic arthritis (PsA) often suffer from liver abnormalities, which are associated with higher body mass index (BMI), daily consumption of alcohol, more severe disease, and some therapies, according to a recent study.
Christina Lau, 3 days ago

Pembrolizumab in combination with chemotherapy significantly improves progression-free survival (PFS) vs chemotherapy alone in patients with previously untreated, locally recurrent inoperable or metastatic triple-negative breast cancer (TNBC), results of the KEYNOTE-355 study have shown.

Pearl Toh, 25 Jun 2020
The type of face mask matters, in addition to sterilization method, in influencing subsequent filtration efficiency after sterilization process for reuse, a new study finds.

Machine learning shows promise in melanoma diagnosis

03 Dec 2019

Artificial intelligence (AI) methods appear to be effective for diagnosing melanoma, as the performance of traditional machine learning for the small dataset of melanoma dermoscopic images shows satisfactory results in a recent study.

AI methods for the classification of melanoma have been studied extensively, but few studies compare these methods under the same standards, according to the investigators.

This study aimed to determine the best AI method for the diagnosis of melanoma. A total of 2,200 dermoscopic images were used for the contrast test. Image segmentations, feature extractions and classifications were carried out in sequence for the assessment of traditional machine learning algorithms. For transfer learning training classification, the investigators used the recent popular convolutional neural network frameworks.

Segmentation performance was the best with the region growing algorithm, with an intersection over union and a false-positive rate of 70.06 percent and 17.67 percent, respectively. Logistic regression showed better classification performance, with a sensitivity and a specificity of 76.36 percent and 87.04 percent, respectively.

In addition, the Inception V3 model (Google, Mountain View, CA, US) had the best performance in deep learning algorithms, with an accuracy of 93.74 percent, a sensitivity of 94.36 percent and a specificity of 85.64 percent.

“[T]he potential for deep learning in the future big data era is enormous,” the investigators claimed.

This study was limited by the absence of division in the severity of melanoma sample used in this experiment and the relatively small dataset for deep learning.

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Most Read Articles
Pearl Toh, 5 days ago
Having migraine during midlife appears to be associated with a higher risk of developing dementia in later life, according to a large population-based longitudinal Danish study presented at the AHS* 2020 Virtual Meeting, indicating that migraine may be a risk factor for dementia.
5 days ago
Patients with psoriatic arthritis (PsA) often suffer from liver abnormalities, which are associated with higher body mass index (BMI), daily consumption of alcohol, more severe disease, and some therapies, according to a recent study.
Christina Lau, 3 days ago

Pembrolizumab in combination with chemotherapy significantly improves progression-free survival (PFS) vs chemotherapy alone in patients with previously untreated, locally recurrent inoperable or metastatic triple-negative breast cancer (TNBC), results of the KEYNOTE-355 study have shown.

Pearl Toh, 25 Jun 2020
The type of face mask matters, in addition to sterilization method, in influencing subsequent filtration efficiency after sterilization process for reuse, a new study finds.