Most Read Articles
Pearl Toh, 31 Dec 2019
Adding the neuraminidase inhibitor oseltamivir to usual care speeds up recovery from influenza-like illness by a day compared with usual care alone, with even greater benefits seen in older, sicker patients with comorbidities, according to the ALIC4E study.
Roshini Claire Anthony, 19 hours ago

The presence of pulmonary arterial hypertension (PAH) in individuals with systemic sclerosis is associated with an increased mortality risk, a study from Singapore showed.

23 Dec 2019
At a Menarini-sponsored symposium held during the Asian Pacific Society Congress, renowned cardiologist Prof John Camm provided the latest evidence for chronic stable angina with or without concomitant diseases, with a special focus on the antianginal agent ranolazine and combination therapies. The event was chaired and moderated by Dr Dante Morales from the University of the Philippines College of Medicine.
09 Jan 2020
Acute ischaemic stroke patients who are current or recent smokers are at greater odds of having unfavourable functional outcomes 3 months after the index event, a study has found.

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, 31 Dec 2019
Adding the neuraminidase inhibitor oseltamivir to usual care speeds up recovery from influenza-like illness by a day compared with usual care alone, with even greater benefits seen in older, sicker patients with comorbidities, according to the ALIC4E study.
Roshini Claire Anthony, 19 hours ago

The presence of pulmonary arterial hypertension (PAH) in individuals with systemic sclerosis is associated with an increased mortality risk, a study from Singapore showed.

23 Dec 2019
At a Menarini-sponsored symposium held during the Asian Pacific Society Congress, renowned cardiologist Prof John Camm provided the latest evidence for chronic stable angina with or without concomitant diseases, with a special focus on the antianginal agent ranolazine and combination therapies. The event was chaired and moderated by Dr Dante Morales from the University of the Philippines College of Medicine.
09 Jan 2020
Acute ischaemic stroke patients who are current or recent smokers are at greater odds of having unfavourable functional outcomes 3 months after the index event, a study has found.