It takes the average reader and 41 minutes to read Deep Learning in Cancer Diagnostics by Mohd Hafiz Arzmi
Assuming a reading speed of 250 words per minute. Learn more
Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer.
Deep Learning in Cancer Diagnostics by Mohd Hafiz Arzmi is 41 pages long, and a total of 10,291 words.
This makes it 14% the length of the average book. It also has 13% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 56 minutes to read Deep Learning in Cancer Diagnostics aloud.
Deep Learning in Cancer Diagnostics is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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