Abstract: Methods and apparatus are disclosed to label radiology images are disclosed. An example apparatus, includes: means for obtaining user input identifying a vertebra on a spinal image; means for generating first annotations on the spinal image based on: 1) the user input; 2) connected regions on the spinal image; and 3) a number of viewable vertebrae on the spinal image; means for generating second annotations on the spinal image based on: 1) the error; 2) second connected regions on the spinal image; and 3) the number of viewable vertebrae on the spinal image, the second connected regions on the spinal image being determined based on second contextual-information features that account for the error; means for displaying the spinal image including the second annotations; means for validating the second annotations in association with the spinal image; and means for storing the second annotations in association with the spinal image.

Abstract: Methods and apparatus are disclosed to label radiology images are disclosed. An example apparatus, includes: means for obtaining user input identifying a vertebra on a spinal image; means for generating first annotations on the spinal image based on: 1) the user input; 2) connected regions on the spinal image; and 3) a number of viewable vertebrae on the spinal image; means for generating second annotations on the spinal image based on: 1) the error; 2) second connected regions on the spinal image; and 3) the number of viewable vertebrae on the spinal image, the second connected regions on the spinal image being determined based on second contextual-information features that account for the error; means for displaying the spinal image including the second annotations; means for validating the second annotations in association with the spinal image; and means for storing the second annotations in association with the spinal image.

Abstract: Methods and apparatus are disclosed to label radiology images. An example system includes a processor and a database. In response to receiving a first user input via a data input, the processor is to generate first annotations on a spinal image. The processor is to cause the spinal image having the first annotations to be displayed at a user interface. The processor is to prompt a user to provide second user input identifying an error in the first annotations. In response to receiving the second user input, the processor is to generate second annotations on the spinal image. The second annotations is to correct the error in the first annotations.

Abstract: Methods and apparatus are disclosed to methods and apparatus to generate three-dimensional spinal renderings. An example computer-implemented method includes receiving initial user input identifying a vertebra on a spinal image. In response to receiving the initial user input, simultaneously detecting inter-vertebral discs and vertebral bodies. The computer-implemented method includes displaying the detected inter-vertebral discs and vertebral bodies.

Abstract: Methods and apparatus are disclosed to methods and apparatus to generate three-dimensional spinal renderings. An example computer-implemented method includes receiving initial user input identifying a vertebra on a spinal image. In response to receiving the initial user input, simultaneously detecting inter-vertebral discs and vertebral bodies. The computer-implemented method includes displaying the detected inter-vertebral discs and vertebral bodies.

Abstract: Methods and apparatus are disclosed to label radiology images. An example system includes a processor and a database. In response to receiving a first user input via a data input, the processor is to generate first annotations on a spinal image. The processor is to cause the spinal image having the first annotations to be displayed at a user interface. The processor is to prompt a user to provide second user input identifying an error in the first annotations. In response to receiving the second user input, the processor is to generate second annotations on the spinal image. The second annotations is to correct the error in the first annotations.