• Send Us A Tip
  • Calling all Tech Writers
  • Advertise
Monday, June 23, 2025
  • Login
  • Register
TechStory
  • News
  • Crypto
  • Gadgets
  • Memes
  • Gaming
  • Cars
  • AI
  • Startups
  • Markets
  • How to
No Result
View All Result
  • News
  • Crypto
  • Gadgets
  • Memes
  • Gaming
  • Cars
  • AI
  • Startups
  • Markets
  • How to
No Result
View All Result
TechStory
No Result
View All Result
Home Tech

MIT Develops Method For Medical Image Segmentation And Analysis

by Pranjal Kumar
June 26, 2017
in Tech
Reading Time: 3 mins read
0
MIT Develops Method For Medical Image Segmentation And Analysis

Fruits

TwitterWhatsappLinkedin

medical image segmentation

You might also like

PhonePe Eyes $1.5 Bn IPO at $15 Bn Valuation

Bill Gates Meets Linux Creator Linus Torvalds in Landmark Tech Industry Moment

Ola’s New Subscription Model in Maharashtra Could Set National Trend, Says SEBI Analyst

Massachusetts Institute of technology has developed a technology for medical image segmentation and analysis which will help to cure diseases primarily occurring on the skin.

In the current method, skin lesions are used to identify the disease that the person is suffering from. The chronic skin disease is easily visible and could be identified by the pigmentation, erythema.

The mains reason why these skin diseases are more dangerous is that they are easily visible to all the other people. So, it has many negative impacts on the life of the person suffering from this disease.

There are many treatments that are available but the reliable objective outcome measures are lacking in the present method.

In the current method, the treatment of the skin diseases includes the repigmentation of the affected skin. The degree of the repigmentation depends on the extent to which the disease has affected the skin.

This technology uses the imaging system to analyze these disease. There are many similar technologies that are available currently but their use is limited by the cost, size or effectiveness.

This technology is used to measure the body condition by the method of image enhancement and segmentation. The method can be used to accurately determine lesion contours in the image. Then the image is processed for diagnosis of the diseases. by alignment of the sequence of the image.

The progression metric is then used to accurately quantify the pigmentation of the skin lesion. The image data is processed by a separate device.

Now, in this method, the first image of the skin lesion is received by the data processor. It then performs the color correction on the first image by performing histogram equalization on a color channel and stores all the results.

The method could also include receiving a sequence of images rather than the single image where the images could correspond to the lesion represented in the first image, and the sequence of images could represent the lesion over a period of time. This increases the efficiency of the system.

This method further includes performing color correction on the sequence of images followed by performing contour detection and feature detection on the sequence of images and finally the progression factor is determined which is based on the comparison of an area of the lesion in the first image and of the lesion in the sequence of images.

The contour detection is comprised of performing a level set method using a region-based image segmentation scheme. The feature detection includes performing a Scale Invariant Feature Transform (SIFT) feature matching.

The color channel is comprised of a red color channel, a green color channel, and a blue color channel. The histogram is performed on each of the color channels independently.

The next challenge for MIT would be to implement this technology in the real life. There are some technologies that are in the market. This might be better that those but it’s efficiency could only be determined after it is successfully launched in the market. They would also have to ensure that the results are near to perfect.

Let’s see how MIT goes with this technology.

Tags: healthcareHealthtechMassachusetts Institute of TechnologyMedical Image SegmentationPatentstechnology
Tweet54SendShare15
Previous Post

Shiv And Steve’s Exclusive On Xavier Malware Attack

Next Post

How To Growth Hack Your Way To Mobile Success?

Pranjal Kumar

Recommended For You

PhonePe Eyes $1.5 Bn IPO at $15 Bn Valuation

by Ishaan Negi
June 23, 2025
0
PhonePe Raises $850 Million in Funding Round as Walmart’s Stake Drops

Walmart Inc.'s financial gem, PhonePe, is getting ready for a huge expansion. According to reports, the firm, which is the biggest digital payments network in India, intends to...

Read more

Bill Gates Meets Linux Creator Linus Torvalds in Landmark Tech Industry Moment

by Rounak Majumdar
June 23, 2025
0
Bill Gates Meets Linux Creator Linus Torvalds in Landmark Tech Industry Moment

In a moment that captured the collective imagination of the tech world, Bill Gates, the co-founder of Microsoft, and Linus Torvalds, the creator of Linux, met face-to-face for...

Read more

Ola’s New Subscription Model in Maharashtra Could Set National Trend, Says SEBI Analyst

by Rounak Majumdar
June 23, 2025
0
Ola’s New Subscription Model in Maharashtra Could Set National Trend, Says SEBI Analyst

Ola, one of India’s leading mobility platforms, has made a significant move by introducing a subscription-based, zero-commission model for drivers in Maharashtra. This strategic shift, which allows drivers...

Read more
Next Post
How To Growth Hack Your Way To Mobile Success?

How To Growth Hack Your Way To Mobile Success?

Please login to join discussion

Techstory

Tech and Business News from around the world. Follow along for latest in the world of Tech, AI, Crypto, EVs, Business Personalities and more.
reach us at [email protected]

Advertise With Us

Reach out at - [email protected]

BROWSE BY TAG

#Crypto #howto 2024 acquisition AI amazon Apple bitcoin Business China cryptocurrency e-commerce electric vehicles Elon Musk Ethereum facebook flipkart funding Gaming Google India Instagram Investment ios iPhone IPO Market Markets Meta Microsoft News NFT samsung Social Media SpaceX startup startups tech technology Tesla TikTok trend trending twitter US

© 2024 Techstory.in

No Result
View All Result
  • News
  • Crypto
  • Gadgets
  • Memes
  • Gaming
  • Cars
  • AI
  • Startups
  • Markets
  • How to

© 2024 Techstory.in

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms bellow to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?